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From "Zhe Zhang (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HDFS-10967) Add configuration for BlockPlacementPolicy to avoid near-full DataNodes
Date Mon, 10 Oct 2016 21:48:20 GMT

     [ https://issues.apache.org/jira/browse/HDFS-10967?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Zhe Zhang updated HDFS-10967:
-----------------------------
    Attachment: HDFS-10967.03.patch

Attaching v3 patch to include remote writer and {{BlockPlacementPolicyRackFaultTolerant}}
scenarios as [~mingma] suggested above.

When writing v3 patch I realized an issue in v2 patch that if a DN is considered in a random
try, it will be put into excluded nodes list. v3 patch addresses that issue as well.

> Add configuration for BlockPlacementPolicy to avoid near-full DataNodes
> -----------------------------------------------------------------------
>
>                 Key: HDFS-10967
>                 URL: https://issues.apache.org/jira/browse/HDFS-10967
>             Project: Hadoop HDFS
>          Issue Type: Improvement
>          Components: namenode
>            Reporter: Zhe Zhang
>            Assignee: Zhe Zhang
>              Labels: balancer
>         Attachments: HDFS-10967.00.patch, HDFS-10967.01.patch, HDFS-10967.02.patch, HDFS-10967.03.patch
>
>
> Large production clusters are likely to have heterogeneous nodes in terms of storage
capacity, memory, and CPU cores. It is not always possible to proportionally ingest data into
DataNodes based on their remaining storage capacity. Therefore it's possible for a subset
of DataNodes to be much closer to full capacity than the rest.
> This heterogeneity is most likely rack-by-rack -- i.e. _m_ whole racks of low-storage
nodes and _n_ whole racks of high-storage nodes. So It'd be very useful if we can lower the
chance for those near-full DataNodes to become destinations for the 2nd and 3rd replicas.



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